Photosynthesis is a process essential to life on Earth: it enables photosynthetic organisms (plants, algae) to convert light energy into chemical energy that can be used by the cell. Its efficiency depends in particular on the three-dimensional organization of numerous proteins present in the
thylakoid membranes*. To understand how these proteins assemble and function together, researchers are developing
proteomics approaches* to identify proteins that interact with one another. Among these approaches,
cross-linking* coupled with
mass spectrometry (XL-MS)* makes it possible to detect protein-protein interactions and reconstruct their networks. In this study, researchers at CEA-Irig developed an innovative strategy to map the protein networks of functional photosynthetic membranes.
The researchers optimized the method based on cross-linking coupled with mass spectrometry (XL-MS) by combining the cross-linking agent,
PhoX*, with a chemical agent,
TMPAC* (trimethylphenylammonium chloride), to obtain reliable results while preserving the functional integrity of the membranes. This strategy enabled the identification of several hundred interactions—increasing their detection rate by 20 to 40 percent—between proteins involved in the regulation of photosynthesis. By combining these data with artificial intelligence (AI) modeling, the researchers revealed previously unknown associations involved in the tuning and repair of the photosynthetic machinery, thereby providing a precise understanding of the organization of the molecular complexes responsible for the conversion of light energy.
This research demonstrates that the method developed bridges the gap between functional and structural biology in plants by enabling the systematic exploration of protein networks under conditions close to physiological conditions. This approach provides a methodological framework that can be applied to other membrane systems—which are often difficult to study—paving the way for the modeling of new functional protein complexes.
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UMR :
Irig/PCV-LPM (UGA-CNRS-CEA-INRAe) ;
Irig/BGE-EDyP (UGA-CEA-Inserm).
Fundings : ANR (PHOTO_DYN), Union Européenne (PhotoLINK, Chloro-Mito, PlanktON), ProFI.
Collaborations : UGA, CNRS, CEA, INRAe, Inserm.